WO2009049314A3 - Video processing system employing behavior subtraction between reference and observed video image sequences - Google Patents
Video processing system employing behavior subtraction between reference and observed video image sequences Download PDFInfo
- Publication number
- WO2009049314A3 WO2009049314A3 PCT/US2008/079839 US2008079839W WO2009049314A3 WO 2009049314 A3 WO2009049314 A3 WO 2009049314A3 US 2008079839 W US2008079839 W US 2008079839W WO 2009049314 A3 WO2009049314 A3 WO 2009049314A3
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- behavior
- motion
- sequence
- sequences
- images
- Prior art date
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
Abstract
An image processing method includes calculating sequences of motion labels from each of first and second sequences of images, each sequence of motion labels including motion label values indicating levels of motion activity in corresponding regions of the corresponding sequence of images. First and second behavior representations are calculated, each from the sequences of motion labels calculated from the respective image sequence, such that each region of each behavior representation represents a measure of motion activity of the corresponding region throughout the respective sequence of images. A comparing function of the first and second behavior representations is calculated, and an output signal is generated that reflects a result of calculating the comparing function. Applications include surveillance applications in which anomalous behavior is identified in an observed image sequence versus background behavior in a training image sequence.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
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US97915907P | 2007-10-11 | 2007-10-11 | |
US60/979,159 | 2007-10-11 |
Publications (2)
Publication Number | Publication Date |
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WO2009049314A2 WO2009049314A2 (en) | 2009-04-16 |
WO2009049314A3 true WO2009049314A3 (en) | 2009-07-30 |
Family
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Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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PCT/US2008/079839 WO2009049314A2 (en) | 2007-10-11 | 2008-10-14 | Video processing system employing behavior subtraction between reference and observed video image sequences |
Country Status (1)
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WO (1) | WO2009049314A2 (en) |
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US9911043B2 (en) | 2012-06-29 | 2018-03-06 | Omni Ai, Inc. | Anomalous object interaction detection and reporting |
US9723271B2 (en) | 2012-06-29 | 2017-08-01 | Omni Ai, Inc. | Anomalous stationary object detection and reporting |
US9113143B2 (en) | 2012-06-29 | 2015-08-18 | Behavioral Recognition Systems, Inc. | Detecting and responding to an out-of-focus camera in a video analytics system |
US9317908B2 (en) | 2012-06-29 | 2016-04-19 | Behavioral Recognition System, Inc. | Automatic gain control filter in a video analysis system |
US9111353B2 (en) | 2012-06-29 | 2015-08-18 | Behavioral Recognition Systems, Inc. | Adaptive illuminance filter in a video analysis system |
WO2014004901A1 (en) | 2012-06-29 | 2014-01-03 | Behavioral Recognition Systems, Inc. | Unsupervised learning of feature anomalies for a video surveillance system |
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IN2015DN03877A (en) | 2012-11-12 | 2015-10-02 | Behavioral Recognition Sys Inc | |
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CN109144260B (en) | 2018-08-24 | 2020-08-18 | 上海商汤智能科技有限公司 | Dynamic motion detection method, dynamic motion control method and device |
CN109543590B (en) * | 2018-11-16 | 2023-04-18 | 中山大学 | Video human behavior recognition algorithm based on behavior association degree fusion characteristics |
CN110135409B (en) * | 2019-04-04 | 2023-11-03 | 平安科技(深圳)有限公司 | Optimization method and device for recognition model |
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2008
- 2008-10-14 WO PCT/US2008/079839 patent/WO2009049314A2/en active Application Filing
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Also Published As
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